Testing and playing around with QNNs using the mnist dataset
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Updated
Oct 19, 2021 - Python
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qnn
Here are 7 public repositories matching this topic...
Official PyTorch repository for Quaternion Generative Adversarial Networks.
gans
quaternions
generative-adversarial-networks
quaternion-algebra
sngan
qnn
celeba-hq
generative-adversarial-nets
quaternion-neural-networks
quaternion-gan
quaternion-generative-models
hypercomplex-gan
quaternion-batch-normalization
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Mar 30, 2022 - Python
A Toolbox for Binarized Spectral Compressive Imaging (NeurIPS 2023)
image-restoration
bnn
hyperspectral-imaging
qnn
snapshot-compressive-imaging
spectral-reconstruction
hyperspectral-image-reconstruction
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Nov 28, 2023 - Python
This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contraints of the target device.
pytorch
integer-arithmetic
qnn
low-power-mcu
quantized-neural-networks
edge-ai
mixed-precision-training
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Updated
May 9, 2024 - Python
A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.
transformer
image-restoration
bnn
ntire
qnn
binarized-neural-networks
hyperspectral-images
snapshot-compressive-imaging
spectral-reconstruction
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Updated
Oct 2, 2024 - Python
The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
machine-learning
inference
pytorch
machinelearning
deeplearning
demos
inference-engine
onnx
tensorflow-lite
qnn
inference-api
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Nov 1, 2024 - Python
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